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Improving Document Binarization Via Adversarial Noise-Texture Augmentation

Overview of attention for article published in this source, January 2019
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3 patents

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40 Mendeley
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Article details
Title
Improving Document Binarization Via Adversarial Noise-Texture Augmentation
Published by
Institute of Electrical and Electronics Engineers (IEEE), January 2019
DOI 10.1109/icip.2019.8803348
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Researcher 4 10%
Professor > Associate Professor 2 5%
Lecturer > Senior Lecturer 1 3%
Other 3 8%
Unknown 16 40%
Readers by discipline
Readers by discipline Count As %
Computer Science 12 30%
Engineering 6 15%
Economics, Econometrics and Finance 1 3%
Physics and Astronomy 1 3%
Unknown 20 50%